🔍 Tool Execution Analysis Report

Comprehensive analysis of tool performance and execution patterns
Generated on September 29, 2025 at 02:47 AM
Source: airline_gemini2_5_flash_10tasks_2t_context_agent_enhanced_logs.json

📊 Executive Summary

20
Total Simulations
220
Total Tool Calls
0.06ms
Avg Execution Time
9
Unique Tools

💡 Key Insights

🎯 Performance Insights

  • 2 out of 9 tools have excellent performance (≥95% success rate)
  • get_reservation_details is the most frequently used tool with 120 calls
  • Overall system reliability: 59.3%

🔄 State Management Insights

  • 4 tools perform state changes, 6 are read-only
  • State-changing operations: 20 calls
  • Read-only operations: 200 calls

⚠️ Error Analysis

  • 22 total errors across 1 error types
  • Most problematic tool: get_reservation_details (8 errors)
  • Primary error type: ActionCheckFailure

🛠️ Tool Performance Analysis

Tool Name Total Calls Success Rate Avg Time (ms) Performance State Changes
get_reservation_details 120 15.0% 0.04ms Poor 0/120
get_user_details 36 25.0% 0.12ms Poor 0/36
transfer_to_human_agents 20 100.0% 0.03ms Excellent 0/20
book_reservation 12 0.0% 0.10ms Poor 4/12
cancel_reservation 12 25.0% 0.10ms Poor 12/12
get_flight_status 8 100.0% 0.04ms Excellent 0/8
search_direct_flight 8 25.0% 0.20ms Poor 0/8
send_certificate 2 0.0% 0.06ms Poor 2/2
update_reservation_flights 2 0.0% 0.11ms Poor 2/2

🔄 State Change Analysis

Tool Name Category Calls Success Rate Avg Time (ms) Performance Rating
cancel_reservation State-Changing 12 100.0% 0.10ms Excellent
book_reservation State-Changing 4 100.0% 0.16ms Excellent
send_certificate State-Changing 2 100.0% 0.06ms Excellent
update_reservation_flights State-Changing 2 100.0% 0.11ms Excellent
get_reservation_details Read-Only 120 95.0% 0.04ms Excellent
get_user_details Read-Only 36 100.0% 0.12ms Excellent
transfer_to_human_agents Read-Only 20 100.0% 0.03ms Excellent
book_reservation Read-Only 8 0.0% 0.08ms Poor
get_flight_status Read-Only 8 100.0% 0.04ms Excellent
search_direct_flight Read-Only 8 100.0% 0.20ms Excellent

🔥 Failure Analysis

🎯 Root Cause Analysis

Total Failures

22

Error Rate

10.0%

Affected Tools

7

Error Categories

1

🚨 Primary Failure Modes

Action Check Failures

7 tools failed action validation checks:

  • get_reservation_details: 8 failures (30.8% rate)
    → Affected 3 simulation(s)
    → Example args: {'reservation_id': 'KC18K6'}
  • cancel_reservation: 3 failures (50.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'reservation_id': 'NQNU5R'}
  • get_user_details: 3 failures (25.0% rate)
    → Affected 3 simulation(s)
    → Example args: {'user_id': 'mei_brown_7075'}
  • book_reservation: 2 failures (100.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'user_id': 'sophia_silva_7557', 'origin': 'ORD', 'destination': 'PHL', 'flight_type': 'one_way', 'c...
  • search_direct_flight: 2 failures (50.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'origin': 'JFK', 'destination': 'MCO', 'date': '2024-05-22'}
  • send_certificate: 2 failures (100.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'user_id': 'noah_muller_9847', 'amount': 50}
  • update_reservation_flights: 2 failures (100.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'reservation_id': 'XEHM4B', 'cabin': 'economy', 'flights': [{'flight_number': 'HAT005', 'date': '20...

⚡ Performance Impact Analysis

High-Usage Tools with Poor Performance
Tool Name Total Calls Success Rate Avg Time (ms)
get_reservation_details 120 15.0% 0.04ms
get_user_details 36 25.0% 0.12ms
book_reservation 12 0.0% 0.10ms
cancel_reservation 12 25.0% 0.10ms
search_direct_flight 8 25.0% 0.20ms
Slowest Tools by Execution Time
Tool Name Avg Time (ms) Total Calls Success Rate
search_direct_flight 0.20ms 8 25.0%
get_user_details 0.12ms 36 25.0%
update_reservation_flights 0.11ms 2 0.0%
cancel_reservation 0.10ms 12 25.0%
book_reservation 0.10ms 12 0.0%

💡 Key Insights

  • Most problematic tool: get_reservation_details (8 failures)
  • Primary failure mode: Action validation failures suggest issues with tool argument validation or execution logic
  • Average tool success rate: 32.2%
  • ⚠️ Low overall success rate suggests systemic issues requiring investigation

🔧 Critical Recommendations

  1. Action Validation: Review and strengthen argument validation logic for failing tools
  2. Error Handling: Implement more robust error recovery mechanisms
  3. Performance Optimization: Focus on improving poor-performing tools with high usage
  4. Monitoring: Implement enhanced monitoring and alerting for tools with high failure rates
  5. Testing: Increase test coverage for identified problematic tool patterns

🔗 Tool Flow Analysis

Tool Sequence Patterns

Most common tool transitions:

  • get_reservation_details → get_reservation_details (76 times)
  • get_user_details → get_reservation_details (31 times)
  • get_reservation_details → transfer_to_human_agents (16 times)
  • get_reservation_details → get_user_details (12 times)
  • transfer_to_human_agents → get_user_details (10 times)

Recursive patterns: 5 tools frequently call themselves, indicating iterative processing patterns.

📋 Recommendations

🚨 High Priority Actions

  • Critical: System success rate is only 59.3%. Immediate investigation required.

⚡ Performance Optimizations

  • Fix failing tools: 7 tools need attention: get_reservation_details (6.7% failure), get_user_details (8.3% failure), book_reservation (16.7% failure)
  • Consider caching: High-usage tools could benefit from result caching: get_reservation_details, get_user_details

📈 Enhancement Opportunities

  • Monitoring setup: With 220 tool calls analyzed, implement automated monitoring dashboards.
  • Performance baselines: Establish SLA targets for your 9 tools based on current performance data.
  • Load distribution: get_reservation_details accounts for 54.5% of calls. Consider load balancing or scaling strategies.

Report generated by tau2-enhanced analysis framework

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